Lili C. Kudo

1.8k citations
21 papers · 1.1k indexed · h-index 13
Topics
Mitochondrial Function and Pathology (3 papers)Bioinformatics and Genomic Networks (3 papers)Gene expression and cancer classification (3 papers)
Partner nations
United StatesJapanFrance

In The Last Decade

Lili C. Kudo

21 papers receiving 1.1k citations

Peers

Lili C. Kudo
Comparison fields: 5 of 98
  • Molecular Biology 607
  • Genetics 238
  • Physiology 158
  • Cellular and Molecular Neuroscience 138
  • Developmental Biology 107
Replace Jamee M. Bomar with:
Jamee M. Bomar United States
Kellen D. Winden United States
Jing Ou United States
Fu‐Chin Liu Taiwan
Julia V. Perederiy United States
Pelagia Deriziotis Netherlands
Daniel Rochefort Canada
Thomas O. Fox United States
Michael Condro United States
Kay E. Davies United Kingdom
Lili C. Kudo relative to Jamee M. Bomar United States Jamee M. Bomar's profile →
Citations per field
00.5×5.4×
Jamee M. Bomar · 1×
Citations per year

Countries citing papers authored by Lili C. Kudo

Since Specialization
Citations

This map shows the geographic impact of Lili C. Kudo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lili C. Kudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lili C. Kudo more than expected).

Fields of papers citing papers by Lili C. Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lili C. Kudo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lili C. Kudo. The network helps show where Lili C. Kudo may publish in the future.

Co-authorship network of co-authors of Lili C. Kudo

This figure shows the co-authorship network connecting the top 25 collaborators of Lili C. Kudo. A scholar is included among the top collaborators of Lili C. Kudo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lili C. Kudo. Lili C. Kudo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 3
4 17
5 17
6 11
7 12
8 37
9 61
10 19
11 50
12 1
13 8
14 1
15 23
16 2
17 30
18 242
19 100
20 371

About Lili C. Kudo

Lili C. Kudo is a scholar working on Developmental Neuroscience, Developmental Biology and Cell Biology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (3 papers), Bioinformatics and Genomic Networks (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Developmental Biology (107 citations), Developmental Neuroscience (73 citations) and Molecular Biology (607 citations). Lili C. Kudo has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Daniel H. Geschwind, Stanislav L. Karsten, Ikuko Teramitsu, Sarah E. London, Stephanie A. White, David J. Lockhart, Todd M. Preuss, Carrolee Barlow, Joël Lachuer and John C. Redmond. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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